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Neil Sherborne
Neil Sherborne
Syngenta UK Ltd
Bestätigte E-Mail-Adresse bei syngenta.com
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Zitiert von
Zitiert von
Jahr
Mean-field models for non-Markovian epidemics on networks
N Sherborne, JC Miller, KB Blyuss, IZ Kiss
Journal of mathematical biology 76 (3), 755-778, 2018
482018
Dynamics of multi-stage infections on networks
N Sherborne, KB Blyuss, IZ Kiss
Bulletin of mathematical biology 77 (10), 1909-1933, 2015
262015
Sublethal effect modelling for environmental risk assessment of chemicals: Problem definition, model variants, application and challenges
N Sherborne, N Galic, R Ashauer
Science of The Total Environment 745, 141027, 2020
102020
Modeling sublethal effects of chemicals: Application of a simplified dynamic energy budget model to standard ecotoxicity data
N Sherborne, N Galic
Environmental Science & Technology 54 (12), 7420-7429, 2020
102020
Compact pairwise models for epidemics with multiple infectious stages on degree heterogeneous and clustered networks
N Sherborne, KB Blyuss, IZ Kiss
Journal of Theoretical Biology 407, 387-400, 2016
82016
Bursting endemic bubbles in an adaptive network
N Sherborne, KB Blyuss, IZ Kiss
Physical Review E 97 (4), 042306, 2018
72018
Mean-field models for non-Markovian epidemics on networks: from edge-based compartmental to pairwise models
N Sherborne, JC Miller, KB Blyuss, IZ Kiss
arXiv preprint arXiv:1611.04030, 2016
62016
Considerations for using reproduction data in toxicokinetic–toxicodynamic modeling
T Jager, M Trijau, N Sherborne, B Goussen, R Ashauer
Integrated Environmental Assessment and Management 18 (2), 479-487, 2022
12022
The application and limitations of exposure multiplication factors in sublethal effect modelling
N Sherborne, T Jager, B Goussen, M Trijau, R Ashauer
Scientific reports 12 (1), 1-11, 2022
2022
Non-Markovian Epidemic Dynamics on Networks
N Sherborne
University of Sussex, 2018
2018
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